Ubuntu under installation Run Colmap

Install from source

Colmap can be installed in the mainstream system Windows,mac,linux

Get the latest source of Colmap from GitHub

git clone https://Github.com/colmap/colmap

The installation tutorials are as follows

Linux

Recommended dependencies: CUDA.

1. Installing dependent Packages

$ sudo apt-get install openjdk-8-jdk git python-dev python3-dev python-numpy python3-numpy python-six p Ython3-six build-essential python-pip python3-pip python-virtualenv Swig python-wheel python3-wheel Libcurl3-dev Libcupti-dev

Where OPENJDK is required, otherwise the configuration file will be error after the time.

2. Installing Cuda and CUDNN

These two are the underlying computational framework that Nvidia has developed for machine learning, with the addition of hardware and software to achieve deep learning amputated I cards.
The installed Cuda and CUDNN versions of the graphics card used since the selection can be queried here. Here we use GeForce 1080ti, so the corresponding version is CUDA8.0 (. Run version) (download here) and cuDNN6.0 (download here).

# Install cuda$ wgethttps://developer.nvidia.com/compute/cuda/8.0/prod2/local_installers/cuda_8.  0.61_375.26_linux-run$ sudo sh cuda_8.  0.61_375.26_linux.run--override--silent--toolkit # installed Cuda under/usr/local/cuda # install cddnn$ cd/usr/local/ Cuda # CUDNN put in this directory to extract $ TAR-XZVF cudnn-8.0-linux-x64-v6.  0.tgz$ sudo cp cuda/include/cudnn.h/usr/local/cuda/include$ sudo cp cuda/lib64/libcudnn* /usr/local /cuda/lib64$ sudo chmod a+r/usr/local/cuda/include/cudnn.h/usr/local/cuda/lib64/libcudnn*   

Then add the path to the environment variable:

export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64"export CUDA_HOME=/usr/local/cuda

Put the above code into the ~/.BASHRC file after savingsource ~/.bashrc

Dependencies from default Ubuntu repositories:

sudo apt-get  install     cmake     build-essential     libboost-all-Dev     Libeigen3-Dev     libsuitesparse-Dev     libfreeimage-Dev     libgoogle- glog-Dev     libgflags-Dev     libglew-Dev     qtbase5-Dev     LIBQT5OPENGL5-dev

Install Ceres Solver:

sudo apt-get install libatlas-base-dev libsuitesparse-devgit clone https://  Ceres-solver.googlesource.com/ceres-solvercd ceres--dbuild_testing=off-dbuild_examples=  Offmakesudo make install

Configure and compile Colmap:

CD path/to/colmapmkdir BUILDCD buildcmake. Makesudo make install

Run Colmap:

Colmap-Hcolmap GUI

Run Colmap

Data Set Download:

A number of different datasets is available for download at:https://demuc.de/colmap/datasets/

Install under Ubuntu run Colmap